Article

MPGEM: A harmonized and transcriptome-complete resource for large-scale reuse of legacy human microarray data

2026-08-25

Abstract excerpt

Abstract Background: Legacy microarray datasets provide an extensive record of human transcriptomic biology, but their reuse is constrained by differences in platform design, preprocessing, measurement scale, and gene coverage. Platforms measuring only subsets of genes cannot readily be integrated with higher-coverage platforms, limiting large-scale analysis and computational modeling. <h4>Results:</h4> We develop...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 06ea864d-6d2c-5efc-a5eb-c12f64c5c32f
DOI: 10.64898/2026.08.20.746052

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

MPGEM: A harmonized and transcriptome-complete resource for large-scale reuse of legacy human microarray dataDOI 10.64898/2026.08.20.746052Read

Compendiums of Cancer Transcriptome for Machine Learning ApplicationsSemantic proximity Read

A Flexible, Interpretable, and Accurate Approach for Imputing the Expression of Unmeasured GenesSemantic proximity Read

Improving the value of public RNA-seq expression data by phenotype predictionSemantic proximity Read

Empowering Multi-Cohort Gene Expression Analysis to Increase ReproducibilitySemantic proximity Read

Curated compendium of human transcriptional biomarker dataSemantic proximity Read

X-Plat: a polynomial regression–based tool for cross-platform transformation of expression and methylation dataSemantic proximity Read

Aggregation of <i>recount3</i> RNA-seq data improves inference of consensus and tissue-specific gene co-expression networksSemantic proximity Read

Paired-Sample and Pathway-Anchored MLOps Framework for Robust Transcriptomic Machine Learning in Small CohortsSemantic proximity Read

Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq dataSemantic proximity Read

"iNETgrate": integrating DNA methylation and gene expression data in a single gene networkSemantic proximity Read

Evaluating single-subject study methods for personal transcriptomic interpretations to advance precision medicineSemantic proximity Read

Improving the value of public RNA-seq expression data by phenotype prediction.Semantic proximity Read